Values Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.

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AI Incidents

TAIM catalog Map Data source & citation

Unraveling the 'Flash Crash': Understanding AI Trader Allegations

Explore the recent controversy surrounding an AI trader, who stands accused of capitalizing on market instability. This incident sheds light...

Market Chaos Unveiled: The 'Flash Crash' Case Study

Explore the interplay of human error, high-frequency trading algorithms, and global market conditions that resulted in the infamous 'Flash C...

The 2010 Flash Crash: A Pivotal Moment in Responsible AI Governance

Exploring the 2010 Flash Crash, a significant event in financial markets history triggered by high-frequency trading algorithms. This incide...

Understanding Herding and Flash Events: Lessons from the 2010 Stock Market Crash

Explore the intricate dynamics of high-frequency trading, herding behavior, and flash events, as unpacked in the aftermath of the 2010 Flash...

Investigating the Stock Market Incident of May 6, 2010: Ensuring Safe and Secure Financial AI

An in-depth examination of the market events that transpired on May 6, 2010, unveiling potential AI governance shortcomings. This analysis e...

Unraveling the 2010 'Flash Crash': A Closer Look at Its Evolution

Explore the events surrounding the 2010 'flash crash', a significant incident in financial markets, demonstrating the potential risks and co...

The Wall Street Flash Crash: Understanding Potential AI Involvement

On May 6, 2010, the stock market experienced one of its most dramatic drops in history, known as the 'Flash Crash.' This incident, often ref...

Role of UK-Indian Navinder Singh Sarao in the 2010 'Flash Crash' Investigated

Navinder Singh Sarao, a UK-based IT programmer of Indian origin, has been arrested for his alleged role in the infamous 2010 'Flash Crash'....

Reflecting on 'The Flash Crash': AI Incident Anniversary

Five years have passed since the infamous 'flash crash' shook markets worldwide, underscoring the need for responsible AI governance and har...

Preventing Global Disaster: The Urgent Need for AI Governance

The recent AI incident underscores the importance of responsible AI governance. Without swift reforms, the next catastrophic event could be...

Navinder Sarao: A Deep Dive into Alleged High-Frequency Trading Incident

An examination of the alleged high-frequency trading incident involving Navinder Sarao, who stands accused of causing a significant market c...

Pivotal Financial Crises Traced Back to High-Frequency Trading Algorithms

Delve into three monumental financial crashes that were, at least in part, instigated by high-frequency trading (HFT) algorithms. Understand...

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.